infrastructure · deployment
ABOUT THE ROLE
Join an AI infrastructure team deploying machine learning software into enterprise customer environments, from cloud VPCs to on-premises hardware. You will own deployments end to end and work directly with customer IT, security, and platform teams to make complex installations reliable and repeatable.
WHAT YOU'LL DO
- Plan, configure, test, and roll out deployments across customer cloud and on-premises environments.
- Partner with customer engineers and technical leaders, including through live calls and shared communication channels.
- Diagnose and resolve infrastructure issues involving Kubernetes configuration, cloud IAM, and networking.
- Build monitoring, telemetry, and automation that turn one-off deployment work into repeatable patterns.
- Understand the hardware used for machine learning workloads and deploy those workloads on customer-controlled infrastructure.
WHAT WE'RE LOOKING FOR
- At least 3 years of experience in infrastructure engineering, DevOps, or SRE.
- Deep production experience with Kubernetes and Terraform, plus hands-on expertise with AWS, GCP, or Azure, networking, and infrastructure as code.
- Experience with tools and technologies such as Python, Helm, Docker, Linux, GPU infrastructure, and customer-managed deployment environments.
- Experience shipping software into customer-controlled environments, such as VPC, air-gapped, on-premises, or customer-managed cluster deployments.
- Clear, structured communication and the ability to diagnose technical issues live with external engineering teams.
- Experience